Codesota · Models · BrainTWTAcademic2 results · 1 benchmarks
Model card

BrainTWT.

AcademicclassificationTemporal Random Walk + Transformer

Dynamic network embedding capturing temporal evolution of brain connectivity with transformer-based embedding. Submitted Mar 2025.

§ 02 · Benchmarks

Every benchmark BrainTWT has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01ABIDE IMedical · Disease Classificationauc75.3%#8/92025-03-16source ↗
02ABIDE IMedical · Disease Classificationaccuracy70.0%#20/242025-03-16source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where BrainTWT actually performs.

Medical
1
benchmark
avg rank #14.0
§ 04 · Papers

1 paper with results for BrainTWT.

  1. 2025-03-16· 2 results

    ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding

§ 05 · Related models

Other Academic models scored on Codesota.

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ChebGAT-GCN
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DNTextSpotter (ResNet-50)
2 results
DNTextSpotter (ViTAEv2-S)
2 results
IAST
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LRANet++
2 results
LSGSpotter
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SwinTextSpotter v2
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§ 06 · Sources & freshness

Where these numbers come from.

paper
2
results
2 of 2 rows marked verified.